2013
DOI: 10.1016/j.cpc.2012.09.007
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Landau gauge fixing on GPUs

Abstract: In this paper we present and explore the performance of Landau gauge fixing in GPUs using CUDA. We consider the steepest descent algorithm with Fourier acceleration, and compare the GPU performance with a parallel CPU implementation. Using 32 4 lattice volumes, we find that the computational power of a single Tesla C2070 GPU is equivalent to approximately 256 CPU cores.

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Cited by 16 publications
(24 citation statements)
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“…Linear covariant gauges on the lattice requires, not only an integration over the ensemble of configurations U µ (x) [9], but an additional integration over the N 2 c − 1 Gaussian distributed Λ m fields. For the Λ integration, we consider 50 different Λ's for each configuration U µ .…”
Section: Results and Comparison With Continuum Studies 31 Results Fomentioning
confidence: 99%
See 1 more Smart Citation
“…Linear covariant gauges on the lattice requires, not only an integration over the ensemble of configurations U µ (x) [9], but an additional integration over the N 2 c − 1 Gaussian distributed Λ m fields. For the Λ integration, we consider 50 different Λ's for each configuration U µ .…”
Section: Results and Comparison With Continuum Studies 31 Results Fomentioning
confidence: 99%
“…However, this turns out, in practice, to be very difficult in a realistic lattice! We opt to extend our fully parallel and very fast GPU codes for Landau GF [7], for a thorough optimization of all possible techniques to minimize θ . We combine three different GF techniques optimized in the Landau case [7],…”
Section: R ξ Gauge Fixing Algorithmmentioning
confidence: 99%
“…Whenever this condition is fulfilled (which, based on the experience of Landau GF [46], means to have θ < 10 −15 ), then the configuration can be considered to be R ξ gauge fixed.…”
Section: The R ξ Gauges Frameworkmentioning
confidence: 99%
“…[2]. The authors of [3] use the Fourier accelerated deepest descent method for gauge fixing in lattice QCD.…”
Section: Introductionmentioning
confidence: 99%